Frank Hopfgartner
Scholar

Frank Hopfgartner

Google Scholar ID: tiASHnwAAAAJ
Universität Koblenz, University of Sheffield
Information RetrievalRecommender SystemsData ScienceInformation ScienceLifelogging
Citations & Impact
All-time
Citations
1,479
 
H-index
17
 
i10-index
36
 
Publications
20
 
Co-authors
50
list available
Resume (English only)
Academic Achievements
  • I have held roles such as steering committee member of the ECIR and ACM SIGIR ICTIR conferences, general chair of ACM CIKM'23 and ACM CHIIR'24, or was co-organiser of evaluation campaigns at CLEF, NTCIR, and MediaEval. I am on the editorial board of the IP&M journal and was guest editor for various special issues of other journals.
Research Experience
  • After this, I have worked at research-led science & engineering centres in the US and Ireland, as well as at universities in Germany, China, and the UK. Since 2022, I am a Senior Fellow of the (UK) Higher Education Academy.
Education
  • I have completed my PhD in Computing Science at the University of Glasgow under the supervision of Prof. Joemon M. Jose and Prof. Keith van Rijsbergen.
Background
  • I am a Professor for Data Science at Universität Koblenz and Visiting Professor at the University of Sheffield. In Koblenz, I lead the Institute for Web Science & Technologies and coordinate the MSc in Web and Data Science and BSc in Computational Social Science programmes. My main research interest is in the intersection of human-centred and responsible artificial intelligence and data science. In particular, I am interested in understanding and modelling how data-driven systems (e.g., information retrieval and recommender systems) shape and influence people and society.
Miscellany
  • My research group is interested in turning data into insight and advancing AI into socially responsible, human-centred solutions. To pursue our vision, our research focuses on two main areas: Data Science and Human-Centred and Responsible AI. Our research projects are often interdisciplinary in nature to address research questions from different angles.